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st: New version of -bmjcip- on SSC

From   "Newson, Roger B" <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   st: New version of -bmjcip- on SSC
Date   Tue, 29 Sep 2009 13:25:10 +0100

Thanks to Kit Baum, a new version of the -bmjcip- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or -adoupdate- if you already have an old version of -bmjcip-.

The -bmjcip- package is described as below on my website. The new version is updated to Stata Version 11. It also has 2 new options -esub()- and -elzero-, controlling the interpretation of exponents (substrings beginning with "e-" or "e+") in the decoded estimates, confidence limits and P-values. The user may specify -esub(rtfsuper)- to convert them to RTF superscripts, or -esub(texsuper)- to convert them to TeX superscripts, or -esub(none)- to do no conversion at all. This option is useful if you have some very small P-values, or the occasional infinite odds ratio.

Users of Stata Versions 10 and 9 can still download earlier versions of -bmjcip- from my website by typing, in Stata,

net from

and selecting the Stata version they require, and downloading the old version of -bmjcip-.

I would like to thank Ben Jann for the idea of writing .rtf documents using Stata, which is a very good idea if your colleagues like having their results in Microsoft Word documents. More useful information about generating .rtf documents can be found at

Best wishes


Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton Campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected] 
Web page:
Departmental Web page:

Opinions expressed are those of the author, not of the institution.

package bmjcip from

      bmjcip: Format confidence intervals and P-values for medical journals

      bmjcip reformats a list of numeric variables, containing estimates,
      confidence limits and (optionally) P-values, to string variables,
      containing the same values formatted for presentation in medical
      journals.  The new string variables replace the old numeric
      variables, and have the same names, variable labels, variable
      characteristics, and positions in the dataset.  bmjcip is usually
      used in output datasets (or resultssets) produced by the parmest
      package, and the reformatted string variables are later output
      using the listtex package for input to Microsoft Word or other word
      processors.  It requires the sdecode package in order to work.  The
      sdecode, parmest and listtex packages can all be downloaded from
      Author: Roger Newson
      Distribution-Date: 27september2009
      Stata-Version: 11

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